NDLI: A generative model approach for decoding in the visual event-related potential-based brain-computer interface speller.

Content Provider	Semantic Scholar
Author	Martens, Suzanna M. M. Leiva, Juliana Medina
Copyright Year	2010
Abstract	There is a strong tendency towards discriminative approaches in brain-computer interface (BCI) research. We argue that generative model-based approaches are worth pursuing and propose a simple generative model for the visual ERP-based BCI speller which incorporates prior knowledge about the brain signals. We show that the proposed generative method needs less training data to reach a given letter prediction performance than the state of the art discriminative approaches.
Starting Page	26003
Ending Page	26003
Page Count	1
File Format	PDF HTM / HTML
DOI	10.1088/1741-2560/7/2/026003
Alternate Webpage(s)	http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/jne10_2_026003_6262%5B0%5D.pdf
Alternate Webpage(s)	http://www.kyb.tuebingen.mpg.de/fileadmin/user_upload/files/publications/jne10_2_026003_6262%5B0%5D.pdf
Alternate Webpage(s)	http://www.kyb.mpg.de/fileadmin/user_upload/files/publications/attachments/jne10_2_026003_6262%5B0%5D.pdf
Alternate Webpage(s)	http://www.kyb.tuebingen.mpg.de/publications/attachments/jne10_2_026003_6262%5B0%5D.pdf
PubMed reference number	20168003
Alternate Webpage(s)	https://doi.org/10.1088/1741-2560%2F7%2F2%2F026003
Journal	Medline
Volume Number	7
Issue Number	2
Journal	Journal of neural engineering
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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A generative model approach for decoding in the visual event-related potential-based brain-computer interface speller.